Concepedia

Author

Michael Clerx

University of OxfordORCID

Also Known As

Clerx, Michael, M. Clerx, Michael Clerx

66

Publications

960

Citations

14

H-Index

24

Concepts

All Affiliations

University of OxfordUniversity of NottinghamUniversity Medical Center UtrechtMaastricht UniversityRoche (Switzerland)
MC

About

Michael Clerx is an author at University of Oxford specializing in engineering, stochastic simulation, and stochastic processes.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

3

3

98

2

Public Health

1

1

12

3

Applied Physics

1

1

13

4

Biomedical Engineering

1

1

13

5

Biostatistics

1

1

12

Michael Clerx

×

15

Publications

570

Citations

13

H-Index

YearCitations

Probabilistic Inference on Noisy Time Series (PINTS)

Michael Clerx, Martin Robinson, Ben Lambert,

Journal of Open Research Software

2019

73

Four Ways to Fit an Ion Channel Model

Michael Clerx, Kylie A. Beattie, David J. Gavaghan,

Biophysical Journal

2019

65

Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments

Chon Lok Lei, Michael Clerx, David J. Gavaghan,

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

2020

62

Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System

Chon Lok Lei, Michael Clerx, David J. Gavaghan,

Biophysical Journal

2019

60

Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence

Chon Lok Lei, Michael Clerx, Kylie A. Beattie,

Biophysical Journal

2019

57

Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology

Chon Lok Lei, Ken Wang, Michael Clerx,

Frontiers in Physiology

2017

49

CellML 2.0

Michael Clerx, Michael T. Cooling, Jonathan Cooper,

Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics

2020

43

Predicting changes to INa from missense mutations in human SCN5A

Michael Clerx, Jordi Heijman, Pieter Collins,

Scientific Reports

2018

35

Maastricht antiarrhythmic drug evaluator (MANTA): A computational tool for better understanding of antiarrhythmic drugs

Henry Sutanto, Lian Laudy, Michael Clerx,

Pharmacological Research

2019

33

Physiology-based regularization of the electrocardiographic inverse problem

Matthijs Cluitmans, Michael Clerx, Nele Vandersickel,

Medical & Biological Engineering & Computing

2016

26

Page 1